Georgian Psychiatric AI Training Expert

You will support AI training focused on psychiatric model evaluation. The work uses psychiatric case studies, assessments, and clinical documentation to help AI systems learn from structured medical expertise and careful review.

You will work with AI project teams, review sensitive mental health content, and use ethical judgment when assessing model outputs and evaluation methods.

• Develop and evaluate complex psychiatric case studies.
• Conduct psychological assessments and create expert annotations based on Georgian psychiatric practices.
• Write clinically accurate documentation and analyses in Georgian and English.
• Review AI evaluation methods and provide clear written feedback.
• Apply cultural sensitivity and ethical reasoning when reviewing mental health content.

Prior AI training experience is not required. However, this role requires substantial real-world psychiatry expertise, medical credentials, and experience in Georgian clinical settings.

• Pay: $100-$200 per hour.
• Work type:
  Remote, part-time contractor.
• Time requirement: 20 or more hours per week.
• Languages:
  
  Native Georgian and advanced written and spoken English.
• Education:
  
  MD, MBBS, or an equivalent medical degree.
• Clinical background:
  Completed psychiatry residency and valid medical licensure.
• Experience:
  
  Psychiatric assessment, treatment planning, and clinical documentation in Georgian clinical settings.
• Knowledge:
  Georgian and Western psychiatric frameworks.
• Skills:
  
  Strong written communication, cultural sensitivity, and ethical reasoning.
• Useful additional experience:
  Creating educational case studies or working on technology, research, or digital health projects.
• Location:
  
  Remote, with eligibility based on the countries listed in the application.

AI training is the human work behind systems that learn from examples, including reviewing documents, rating model responses, and writing expert feedback. Experienced professionals are paid to help make these systems more accurate, useful, and responsible in specialized fields such as psychiatry.